Concepts¶

Understand the fundamental concepts behind Hyper-Extract.

Three-Layer Architecture¶

Hyper-Extract is built on a three-layer architecture:

graph TD
    subgraph "Layer 3: Interface"
    A[CLI] --> B[Python SDK]
    B --> C[Template API]
    end

    subgraph "Layer 2: Methods"
    C --> D[RAG-Based]
    C --> E[Typical]
    end

    subgraph "Layer 1: Data"
    D --> F[Auto-Types]
    E --> F
    end

    F --> G[Structured Knowledge]

Layer	Purpose	Components
Auto-Types	Define data structures	8 type classes
Methods	Extraction algorithms	RAG + Typical methods
Templates	Domain-specific configs	80+ preset templates

Core Concepts¶

Auto-Types ¶

The 8 data structure types that define extraction output:

Record Types: AutoModel, AutoList, AutoSet (store data, no entity relations)
Graph Types: AutoGraph, AutoHypergraph, AutoTemporalGraph, AutoSpatialGraph, AutoSpatioTemporalGraph (represent entity relationships)

→ Learn about Auto-Types